activity
20222024
most citedDeep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications

42 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024★ 42 cited

Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications

Nazmul Islam, Seokjoo Shin

Deep learning (DL) has revolutionized wireless communication systems by introducing datadriven end-to-end (E2E) learning, where the physical layer (PHY) is transformed into DL arch…

cs.LG2023★ 2 cited

Review of Deep Learning-based Malware Detection for Android and Windows System

Nazmul Islam, Seokjoo Shin

Differentiating malware is important to determine their behaviors and level of threat; as well as to devise defensive strategy against them. In response, various anti-malware syste…

cs.LG2022

Channel model for end-to-end learning of communications systems: A survey

Ijaz Ahmad, Seokjoo Shin

The traditional communication model based on chain of multiple independent processing blocks is constraint to efficiency and introduces artificial barriers. Thus, each individually…

cs.CV2022

Just-Noticeable-Difference Based Edge Map Quality Measure

Ijaz Ahmad, Seokjoo Shin

The performance of an edge detector can be improved when assisted with an effective edge map quality measure. Several evaluation methods have been proposed resulting in different p…

cs.CR2022★ 1 cited

A Pixel-based Encryption Method for Privacy-Preserving Deep Learning Models

Ijaz Ahmad, Seokjoo Shin

In the recent years, pixel-based perceptual algorithms have been successfully applied for privacy-preserving deep learning (DL) based applications. However, their security has been…